A deep learning algorithm for white matter hyperintensity lesion detection and segmentation

被引：0
|
作者：
Yajing Zhang
Yunyun Duan
Xiaoyang Wang
Zhizheng Zhuo
Sven Haller
Frederik Barkhof
Yaou Liu
机构：
[1] Philips Healthcare,MR Clinical Science
[2] Capital Medical University,Department of Radiology, Beijing Tiantan Hospital, Fengtai District
[3] University of Geneva,Department of Imaging and Medical Informatics
[4] University of Geneva,Faculty of Medicine
[5] Amsterdam University Medical Center,Department of Radiology and Nuclear Medicine
[6] University College,Queen Square Institute of Neurology and Center for Medical Image Computing
来源：
Neuroradiology | 2022年 / 64卷
关键词：
White matter hyperintensity; Automated detection and segmentation; Multiple sclerosis; Multicentre; FLAIR;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：727 / 734
页数：7
相关论文
共 50 条
  • [21] Segmentation of White Matter and Detection of Lesions with Machine Learning
    Afzal, H. M. Rehan
    Luo, Suhuai
    Ramadan, Saadallah
    Lechner-Scott, Jeannette
    MULTIPLE SCLEROSIS JOURNAL, 2019, 25 (03) : 454 - 454
  • [22] White Matter Hyperintensity Segmentation using Multiple Stage FCM
    Kurian, Dancy
    Jayasree, R. S.
    Wilscy, M.
    Gupta, A. K.
    PROCEEDINGS OF THE FIRST AMRITA ACM-W CELEBRATION OF WOMEN IN COMPUTING IN INDIA (A2WIC), 2010,
  • [23] A single-layer network unsupervised feature learning method for white matter hyperintensity segmentation
    Vijverberg, Koen
    Ghafoorian, Mohsen
    van Uden, Inge W. M.
    de Leeuw, Frank-Erik
    Platel, Bram
    Heskes, Tom
    MEDICAL IMAGING 2016: COMPUTER-AIDED DIAGNOSIS, 2015, 9785
  • [24] Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation
    Duarte, Kaue T. N.
    Sidhu, Abhijot S.
    Barros, Murilo C.
    Gobbi, David G.
    Mccreary, Cheryl R.
    Saad, Feryal
    Camicioli, Richard
    Smith, Eric E.
    Bento, Mariana P.
    Frayne, Richard
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2024, 18
  • [25] Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation
    Molchanova, Nataliia (nataliia.molchanova@unil.ch), 2025, 184
  • [26] A Deep Learning-Based Pipeline for Longitudinal White Matter Lesion Segmentation Using Diverse FLAIR Images
    La Rosa, F.
    Silva, J. Dos Santos
    Mullins, W. A.
    Greenspan, H.
    Sumowski, J. F.
    Reich, D. S.
    Beck, E. S.
    MULTIPLE SCLEROSIS JOURNAL, 2023, 29 : 150 - 150
  • [27] NON-UNIFORM PATCH SAMPLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS FOR WHITE MATTER HYPERINTENSITY SEGMENTATION
    Ghafoorian, M.
    Karssemeijer, N.
    Heskes, T.
    van Uden, I. W. M.
    de Leeuw, F. E.
    Marchiori, E.
    van Ginneken, B.
    Platel, B.
    2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2016, : 1414 - 1417
  • [28] Automatic white matter lesion segmentation using an adaptive outlier detection method
    Ong, Kok Haur
    Ramachandram, Dhanesh
    Mandava, Rajeswari
    Shuaib, Ibrahim Lutfi
    MAGNETIC RESONANCE IMAGING, 2012, 30 (06) : 807 - 823
  • [29] Flat lesion detection of white light cystoscopy with deep learning
    Jia, Xiao
    Shkolyar, Eugene
    Eminaga, Okyaz
    Laurie, Mark A.
    Zhou, Zixia
    Lee, Timothy
    Islam, Md Tauhidul
    Meng, Max Q. -H.
    Liao, Joseph C.
    Xing, Lei
    ADVANCED PHOTONICS IN UROLOGY 2023, 2023, 12353
  • [30] Interinstitutional Portability of a Deep Learning Brain MRI Lesion Segmentation Algorithm
    Rauschecker, Andreas M.
    Gleason, Tyler J.
    Nedelec, Pierre
    Duong, Michael Tran
    Weiss, David A.
    Calabrese, Evan
    Colby, John B.
    Sugrue, Leo P.
    Rudie, Jeffrey D.
    Hess, Christopher P.
    RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2022, 4 (01)
12345